SynapseAI
E660953
SynapseAI is Intel’s software stack designed to optimize and manage AI workloads on Gaudi accelerators for high-performance deep learning.
All labels observed (1)
| Label | Occurrences |
|---|---|
| SynapseAI canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T7388135 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SynapseAI Context triple: [Gaudi, softwareStack, SynapseAI]
-
A.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
-
B.
Einstein AI
Einstein AI is Salesforce’s integrated artificial intelligence platform that powers predictive analytics, automation, and intelligent insights across its CRM ecosystem.
-
C.
Syncopy Inc.
Syncopy Inc. is a British-American film production company co-founded by director Christopher Nolan and producer Emma Thomas, known for producing high-profile, critically acclaimed films.
-
D.
C3.ai
C3.ai is an enterprise artificial intelligence software company that provides a platform and applications for developing, deploying, and operating large-scale AI, predictive analytics, and IoT solutions for businesses and governments.
-
E.
Adobe Sensei AI platform
Adobe Sensei AI platform is Adobe’s artificial intelligence and machine learning framework that powers intelligent features across its creative and experience products, enabling automated, context-aware tools for tasks like image editing, personalization, and content optimization.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SynapseAI Target entity description: SynapseAI is Intel’s software stack designed to optimize and manage AI workloads on Gaudi accelerators for high-performance deep learning.
-
A.
Element AI
Element AI was a Montreal-based artificial intelligence company and research lab known for developing enterprise AI solutions and advancing deep learning research.
-
B.
Einstein AI
Einstein AI is Salesforce’s integrated artificial intelligence platform that powers predictive analytics, automation, and intelligent insights across its CRM ecosystem.
-
C.
Syncopy Inc.
Syncopy Inc. is a British-American film production company co-founded by director Christopher Nolan and producer Emma Thomas, known for producing high-profile, critically acclaimed films.
-
D.
C3.ai
C3.ai is an enterprise artificial intelligence software company that provides a platform and applications for developing, deploying, and operating large-scale AI, predictive analytics, and IoT solutions for businesses and governments.
-
E.
Adobe Sensei AI platform
Adobe Sensei AI platform is Adobe’s artificial intelligence and machine learning framework that powers intelligent features across its creative and experience products, enabling automated, context-aware tools for tasks like image editing, personalization, and content optimization.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
AI software platform
ⓘ
software stack ⓘ |
| associatedWith |
Intel Gaudi software ecosystem
ⓘ
linked to:
Intel AI software stack
|
| category |
AI accelerator software stack
ⓘ
deep learning framework backend ⓘ |
| compatibleWith |
PCIe Gaudi cards
ⓘ
x86 host servers ⓘ |
| designedFor |
Gaudi accelerators
ⓘ
Intel Gaudi ⓘ |
| developer |
Intel
ⓘ
linked to:
Intel Corporation
Intel Habana Labs ⓘ |
| includes |
communication libraries
ⓘ
compilers ⓘ drivers ⓘ firmware components ⓘ graph optimizations ⓘ kernel libraries ⓘ monitoring tools ⓘ profiling tools ⓘ runtime libraries ⓘ |
| integratesWith |
ONNX Runtime
ⓘ
PyTorch ⓘ TensorFlow ⓘ |
| optimizationGoal |
cost efficiency
ⓘ
latency optimization ⓘ power efficiency ⓘ throughput optimization ⓘ |
| primaryUse |
high-performance deep learning
ⓘ
manage AI workloads ⓘ optimize AI workloads ⓘ |
| provides |
automatic kernel selection
ⓘ
cluster management integration ⓘ collective communication primitives ⓘ graph compilation ⓘ memory optimization ⓘ |
| supports |
deep learning models
ⓘ
distributed training ⓘ inference workloads ⓘ multi-device training ⓘ multi-node training ⓘ training workloads ⓘ |
| supportsModelType |
computer vision models
ⓘ
large language models ⓘ recommendation models ⓘ |
| targetDomain |
cloud AI infrastructure
ⓘ
data center AI ⓘ |
| targetHardware |
Intel Gaudi2
ⓘ
linked to:
Intel Gaudi
Intel Gaudi3 ⓘ
linked to:
Intel Gaudi
|
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: SynapseAI Description of subject: SynapseAI is Intel’s software stack designed to optimize and manage AI workloads on Gaudi accelerators for high-performance deep learning.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.